Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI & Data Scientist Study & Internship

Refonte Learning
8 months ago
Applications closed

Related Jobs

View all jobs

Agentic AI Data Scientist – Architect the Future

Principal Data Scientist

Faculty in Applications of Physics, Data Science and/or Engineering to Particle Accelerators (Tenured, F1117A

Data scientist

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Data Scientist Graduate (TikTok Shop EMEA DS) 2026 Start (BS/MS)

Refonteis a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. Specializing in Artificial intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide.


Job Title:AI, Data Science, DevOps, and Cloud Intern


Learn More On:https://refontelearning.com/


Benefits:

This internship offers an exciting opportunity to gain practical experience in AI, Data Science, DevOps, and Cloud technologies, working on impactful projects and contributing to the development of innovative solutions. If you are enthusiastic about technology and eager to learn, we encourage you to apply and join our team.


Job Summary:


Refonte is seeking enthusiastic individuals for our prestigious AI & Data Science Study and Internship Program. This intensive initiative offers a unique opportunity to collaborate closely with our seasoned AI & data science team on diverse and impactful projects.


Refonte is seeking enthusiastic individuals who are looking to learn AI & Data Science from beginning to advanced level while also working on live projects globally. RGTIP (Refonte Global Training & Internship Program) is designed as a manner that offers you to work in a flexible work environment but also offers working with people in a global team from Oceania, Asia, Europe and American continents.


Job Description:

We are excited to offer an internship opportunity for individuals passionate about the convergence of AI, Data Science, DevOps, and Cloud technologies. As an AI, Data Science, DevOps, and Cloud Intern, you will have the unique opportunity to gain hands-on experience in these dynamic and interconnected fields, working on innovative projects and collaborating with experienced professionals.


Responsibilities:

  • Collaborate with cross-functional teams to develop, deploy, and maintain AI-driven solutions.
  • Assist in collecting, cleaning, and analyzing data from various sources to derive actionable insights.
  • Contribute to the design and implementation of scalable data pipelines for model training and deployment.
  • Support the integration of machine learning models into production systems using DevOps best practices.
  • Participate in designing and optimizing CI/CD pipelines for continuous integration, testing, and deployment of AI applications on cloud platforms.
  • Assist in infrastructure provisioning, configuration, and monitoring using cloud services such as AWS, Azure, or Google Cloud.
  • Work closely with data scientists and engineers to understand business requirements and translate them into technical solutions.
  • Research and experiment with emerging technologies and tools in AI, Data Science, DevOps, and Cloud domains.
  • Collaborate on documentation efforts to ensure knowledge sharing and best practices across the team.


Projects You Will Work On:

- Multi Cloud AI Infrastructure Configuration, Automation and Deployment

- Full Stack AI DevOps & Development

- Generative AI model, Large Language Models and Foundations models to transform input to output.

NB: Input can be text, images, audios or videos; Output can also be text, images, audios or videos

- Finance Fraud Detection: Develop advanced fraud detection algorithms leveraging financial data analysis.

- Recommender System: Contribute to personalized recommendation systems, enhancing user experiences across platforms.

- Sentiment Analysis: Explore sentiment analysis to extract insights from textual data, shaping user sentiment understanding.

- Chatbots: Engage in intelligent chatbot development, revolutionizing customer interactions and support.

- Image/Audio Video Classification: Push boundaries with multimedia technology by working on image and audio video classification projects.

- Text Analysis: Uncover hidden patterns in textual data through sophisticated text analysis techniques.


Roles & Responsibilities:

- Collaborate with our esteemed AI & data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization.

- Contribute to the development of predictive models and algorithms, employing cutting-edge machine learning techniques to solve real-world challenges.

- Work closely with team members to design, implement, and evaluate experiments, fostering a collaborative and innovative environment.

- Stay updated with the latest industry trends and best practices in data science, applying newfound knowledge to enhance project outcomes.

Qualifications:

- Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.

- Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas.

- Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities.


Benefits:


This unique internship provides you with the chance to work on pivotal AI, Data Science, DevOps, and Cloud projects in a supportive, team-oriented environment. You’ll gain invaluable experience that sets you up for success in the tech industry


Note:

This internship is part of our unpaid AI & Data Science Study and Internship Program. Upon application, our team will guide you through the application and onboarding process.


Location:

Remote


Contact:

To explore the exciting world of data science with us, please

Visit our website:https://refontelearning.com/


Refonte AI is excited to support your professional journey in data science. We look forward to your application and the opportunity to work together on groundbreaking technology solutions.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.